Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Recent Posts
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
How to Create a Data Folder for Each User and Move Conda Packages to a Shared Storage Drive
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.